Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
Blog Post number 4
Published:
Blog Post number 3
Published:
Blog Post number 2
Published:
Blog Post number 1
Published:
portfolio
publications
Contradictory conclusions in analysis of brain functional networks: the role of image registration
M Taquet, R Gong, SK Warfield. 2013. Organization for Human Brain Mapping (OHBM)
A data-driven framework for identifying high school students at risk of not graduating on time
RA Johnson, R Gong, S Greatorex-Voith, A Anand, A Fritzler. 2015. Bloomberg Data for Good Exchange Conference
Discussion on prior-based Bayesian Information Criterion (PBIC) by MJ Bayarri, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi, and Ingmar Visser
R Gong, M Xie. 2019. Statistical Theory and Related Fields
David Kennard (Director): John Cleese’s Wine for the Confused
R Gong. 2022. Journal of Wine Economics
Technical Comment on ‘‘Policy impacts of statistical uncertainty and privacy’’
Y Cui, R Gong, J Hannig, K Hoffman. 2023. Science
Informational richness and its impact on algorithmic fairness
M Di Bello, R Gong. 2023. Philosophical Studies
publications_foundation
Simultaneous inference under the vacuous orientation assumption
R Gong. 2019. ISIPTA
Geometric conditions for the Discrepant Posterior Phenomenon and connections to Simpson’s paradox
Y Chen, R Gong, M Xie. 2020. ArXiv:2001.08336
Deceptive credences
R Gong, JB Kadane, MJ Schervish, T Seidenfeld, RB Stern. 2021. Ergo, an Open Access Journal of Philosophy
Judicious judgment meets unsettling updating: dilation, sure loss, and Simpson’s paradox (with discussion)
R Gong, XL Meng. 2021. Statistical Science
A Gibbs sampler for a class of random convex polytopes (with discussion)
PE Jacob, R Gong, PT Edlefsen, AP Dempster. 2021. Journal of the American Statistical Association
Learning and total evidence with imprecise probabilities
R Gong, JB Kadane, MJ Schervish, T Seidenfeld, RB Stern. 2022. International Journal of Approximate Reasoning
The value provided by a scientific explanation
R Gong, JB Kadane, MJ Schervish, T Seidenfeld, RB Stern. 2022. Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld
Six statistical senses
RV Craiu, R Gong, XL Meng. 2023. Annual Review of Statistics and Its Application
Dynamic precise and imprecise probability kinematics
M Caprio, R Gong. 2023. ISIPTA
publications_privacy
Congenial differential privacy under mandated disclosure
R Gong, XL Meng. 2020. FODS-20
Subspace differential privacy
J Gao, R Gong, FY Yu. 2022. AAAI-22
Transparent privacy is principled privacy
R Gong. 2022. Harvard Data Science Review
Exact inference with approximate computation for differentially private data via perturbations
R Gong. 2022. Journal of Privacy and Confidentiality
Data augmentation MCMC for Bayesian inference from privatized data
N Ju, JA Awan, R Gong, VA Rao. 2022. NeurIPS
Integer subspace differential privacy
P Dharangutte, J Gao, R Gong, FY Yu. 2023. AAAI-23
Can swapping be differentially private? A refreshment stirred, not shaken
J Bailie, R Gong, XL Meng. 2023. NBER Working Paper
Differentially private range queries with correlated input perturbation
P Dharangutte, J Gao, R Gong, G Wang. 2024. ArXiv
General inferential limits under differential and Pufferfish privacy
J Bailie, R Gong. 2024. International Journal of Approximate Reasoning
talks
Resolving Algorithmic Fariness
Published:
Measuring Severity in Statistical Inference
Published:
teaching
Regression and Time Series
Graduate course (16:960:594), 2018f, 2019f, 2020f
Applied Time Series Analysis
Graduate course (16:960:565), 2019s, 2020s
Byrne Seminar - Privacy in the Digital World: from Netflix to the Census
Freshman seminar (01:090:101:14), 2020f
Bayesian Analysis
Graduate course (16:960:568), 2021s, 2022s, 2023s, 2024s
Introduction to Bayesian Data Analysis
Undergraduate course (01:960:365), 2022f, 2023f